Paraskevi Nousi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 37

Top Topics

Demand Forecasting

Object Tracking

Top Venues

Signal Process. Image Commun.

Publications

Loukia Avramelou, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas
Deep reinforcement learning for financial trading using multi-modal features. Expert Syst. Appl. 238 (Part C) (2024)
Ourania Stentoumi, Paraskevi Nousi, Maria Tzelepi, Anastasios Tefas
AnIO: anchored input-output learning for time-series forecasting. Neural Comput. Appl. 36 (6) (2024)
Paraskevi Nousi, Anastasios Tefas
Deep label embedding learning for classification. Appl. Soft Comput. 163 (2024)
Paraskevi Nousi, Loukia Avramelou, Georgios Rodinos, Maria Tzelepi, Theodoros Manousis, Konstantinos Tsampazis, Kyriakos Stefanidis, Dimitris Spanos, Emmanouil Kirtas, Pavlos Tosidis, Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
Leveraging Deep Learning and Online Source Sentiment for Financial Portfolio Management. CoRR (2023)
Maria Tzelepi, Paraskevi Nousi, Anastasios Tefas
Improving Electric Load Demand Forecasting with Anchor-Based Forecasting Method. ICASSP (2023)
Georgios Rodinos, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas
A Sharpe Ratio Based Reward Scheme in Deep Reinforcement Learning for Financial Trading. AIAI (1) (2023)
Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis
Variational Voxel Pseudo Image Tracking. SSCI (2023)
Styliani-Christina Fragkouli, Paraskevi Nousi, Nikolaos Passalis, Panagiotis Iosif, Nikolaos Stergioulas, Anastasios Tefas
Deep residual error and bag-of-tricks learning for gravitational wave surrogate modeling. Appl. Soft Comput. 147 (2023)
Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis
Variational Voxel Pseudo Image Tracking. CoRR (2023)
Paraskevi Nousi, Maria Tzelepi, Anastasios Tefas
Anchored Input-Output Learning for Electrical Load Demand Forecasting. ISCAS (2023)
Loukia Avramelou, Paraskevi Nousi, Nikolaos Passalis, Stavros Doropoulos, Anastasios Tefas
Cryptosentiment: A Dataset and Baseline for Sentiment-Aware Deep Reinforcement Learning for Financial Trading. ICASSP Workshops (2023)
Maria Tzelepi, Charalampos Symeonidis, Paraskevi Nousi, Efstratios Kakaletsis, Theodoros Manousis, Pavlos Tosidis, Nikos Nikolaidis, Anastasios Tefas
Deep Learning for Energy Time-Series Analysis and Forecasting. CoRR (2023)
Marlin B. Schäfer, Ondrej Zelenka, Alexander H. Nitz, He Wang, Shichao Wu, Zong-Kuan Guo, Zhoujian Cao, Zhixiang Ren, Paraskevi Nousi, Nikolaos Stergioulas, Panagiotis Iosif, Alexandra E. Koloniari, Anastasios Tefas, Nikolaos Passalis, Francesco Salemi, Gabriele Vedovato, Sergey Klimenko, Tanmaya Mishra, Bernd Brügmann, Elena Cuoco, E. A. Huerta, Chris Messenger, Frank Ohme
MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge. CoRR (2022)
Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, O. Green, Alexandros Iosifidis, E. Kayacan, Jens Kober, O. Michel, Nikos Nikolaidis, Paraskevi Nousi, R. Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. IROS (2022)
Paraskevi Nousi, Emmanouil Mpampis, Nikolaos Passalis, Ole Green, Anastasios Tefas
A Novel Dataset for Evaluating and Alleviating Domain Shift for Human Detection in Agricultural Fields. CoRR (2022)
Paraskevi Nousi, Styliani-Christina Fragkouli, Nikolaos Passalis, Panagiotis Iosif, Theocharis Apostolatos, George Pappas, Nikolaos Stergioulas, Anastasios Tefas
Autoencoder-driven spiral representation learning for gravitational wave surrogate modelling. Neurocomputing 491 (2022)
Styliani-Christina Fragkouli, Paraskevi Nousi, Nikolaos Passalis, Panagiotis Iosif, Nikolaos Stergioulas, Anastasios Tefas
Deep Residual Error and Bag-of-Tricks Learning for Gravitational Wave Surrogate Modeling. CoRR (2022)
Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, O. Green, Alexandros Iosifidis, E. Kayacan, Jens Kober, O. Michel, N. Nikolaidis, Paraskevi Nousi, R. Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. CoRR (2022)
Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis
VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images. CoRR (2022)
Charalampos Symeonidis, Paraskevi Nousi, P. Tosidis, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas, N. Nikolaidis
Efficient Realistic Data Generation Framework Leveraging Deep Learning-Based Human Digitization. EANN (2021)
Paraskevi Nousi, Styliani-Christina Fragkouli, Nikolaos Passalis, Panagiotis Iosif, Theocharis Apostolatos, George Pappas, Nikolaos Stergioulas, Anastasios Tefas
Autoencoder-driven Spiral Representation Learning for Gravitational Wave Surrogate Modelling. CoRR (2021)
Charalampos Symeonidis, Paraskevi Nousi, P. Tosidis, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas, N. Nikolaidis
Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization. CoRR (2021)
Paraskevi Nousi, Anastasios Tefas
Self-supervised autoencoders for clustering and classification. Evol. Syst. 11 (3) (2020)
Paraskevi Nousi, Sotirios Papadopoulos, Anastasios Tefas, Ioannis Pitas
Deep autoencoders for attribute preserving face de-identification. Signal Process. Image Commun. 81 (2020)
Paraskevi Nousi, Anastasios Tefas, Ioannis Pitas
Dense convolutional feature histograms for robust visual object tracking. Image Vis. Comput. 99 (2020)
Paraskevi Nousi, Danai Triantafyllidou, Anastasios Tefas, Ioannis Pitas
Re-identification framework for long term visual object tracking based on object detection and classification. Signal Process. Image Commun. 88 (2020)
Fotini Patrona, Paraskevi Nousi, Ioannis Mademlis, Anastasios Tefas, Ioannis Pitas
Visual Object Detection For Autonomous UAV Cinematography. NLDL (2020)
Paraskevi Nousi, Danai Triantafyllidou, Anastasios Tefas, Ioannis Pitas
Joint Lightweight Object Tracking and Detection for Unmanned Vehicles. ICIP (2019)
Paraskevi Nousi, Avraam Tsantekidis, Nikolaos Passalis, Adamantios Ntakaris, Juho Kanniainen, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis
Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data. IEEE Access 7 (2019)
Paraskevi Nousi, Ioannis Mademlis, Iason Karakostas, Anastasios Tefas, Ioannis Pitas
Embedded UAV Real-Time Visual Object Detection and Tracking. RCAR (2019)
Paraskevi Nousi, Anastasios Tefas, Ioannis Pitas
Deep Convolutional Feature Histograms for Visual Object Tracking. ICASSP (2019)
Danai Triantafyllidou, Paraskevi Nousi, Anastasios Tefas
Fast Deep Convolutional Face Detection in the Wild Exploiting Hard Sample Mining. Big Data Res. 11 (2018)
Paraskevi Nousi, Avraam Tsantekidis, Nikolaos Passalis, Adamantios Ntakaris, Juho Kanniainen, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis
Machine Learning for Forecasting Mid Price Movement using Limit Order Book Data. CoRR (2018)
Paraskevi Nousi, Emmanouil Patsiouras, Anastasios Tefas, Ioannis Pitas
Convolutional Neural Networks for Visual Information Analysis with Limited Computing Resources. ICIP (2018)
Danai Triantafyllidou, Paraskevi Nousi, Anastasios Tefas
Lightweight two-stream convolutional face detection. EUSIPCO (2017)
Paraskevi Nousi, Anastasios Tefas
Discriminatively Trained Autoencoders for Fast and Accurate Face Recognition. EANN (2017)
Paraskevi Nousi, Anastasios Tefas
Deep learning algorithms for discriminant autoencoding. Neurocomputing 266 (2017)